Cognitive Computing and the new age of Video-on-Demand

The global media and entertainment industry is at an inflection point. Online content is increasing in leaps and bounds, and viewers prefer to consume content on hand-held devices and at their convenience. This is a challenge for the media and entertainment business, which is going flat out to reach as many people, in a variety of formats and at a time of their choosing.

In 2015, a record 409 TV shows were scripted- a 94% increase from 2009¹ . This increase has the industry ‘choking in its own abundance.’ How then can the media and entertainment industry cater to diverse requirements, allocate marketing spends and win in a competitive market?

Welcome to the world of video streaming. This is a method of distributing video and leveraging cloud technologies. Besides live video, it can be used for video-on-demand services, live playlists and video hosting. Video and the accompanying audio are streamed from the cloud rather than downloaded to the viewer’s device. For organisations, video platforms enable video sharing across the globe on many different devices. This a big opportunity going by IBM estimates, which indicates that cloud-based video services is a $105 billion market².

As a content-driven media and entertainment industry, it has also begun to realise the need for harnessing the power of data analytics to cater to individual tastes.


A variety of new age players now use machine learning and natural language processing to personalise content. Your on-demand video provider recommendation engine constantly monitors your tastes, preferences, and viewing history, alongside recommendations made by friends and social media, to suggest movies and TV shows. Cable and satellite TV providers worldwide are investing in the recommendation engine technology to provide content that matches viewers’ needs and moods.



With IBM’s Bluemix™, the media and entertainment business can now respond in real time to viewer demands leveraging actual content in movies and not just tags and genres and artists. Moreover, studios can leverage cognitive computing to evaluate crowd sentiment and create customised content for different sets of people.

According to the Global Video Insights report, 85% of Indians prefer short form video content on smartphones as against 71% on their laptops; 65% consume video content while travelling.³ With the merger of digital with video, cloud computing can enable the media and entertainment business to cater to this audience to gain the competitive edge. So, let’s welcome on stage, the power of cognitive computing.

To know more about how your organisation can leverage cognitive computing in the world of video, signup for IBM India Onward event.

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References:

1 http://deadline.com/2015/12/tv-study-record-number-scripted-series-fx-1201668200/
2 https://www.ibm.com/cloud-computing/solutions/video/
3. http://www.exchange4media.com/digital/85-viewers-in-india-consume-short-form-video-content-on-smartphones--vuclip-global-video-insights-report_62994.html